residuals.gls              package:nlme              R Documentation

_E_x_t_r_a_c_t _g_l_s _R_e_s_i_d_u_a_l_s

_D_e_s_c_r_i_p_t_i_o_n:

     The residuals for the linear model represented by 'object' are
     extracted.

_U_s_a_g_e:

     ## S3 method for class 'gls':
     residuals(object, type, ...)

_A_r_g_u_m_e_n_t_s:

  object: an object inheriting from class 'gls', representing a
          generalized least squares fitted linear model, or from class
          'gnls', representing a generalized nonlinear least squares
          fitted linear model.

    type: an optional character string specifying the type of residuals
          to be used. If '"response"', the "raw" residuals (observed -
          fitted) are used; else, if '"pearson"', the standardized
          residuals (raw residuals divided by the corresponding
          standard errors) are used; else, if '"normalized"', the
          normalized residuals (standardized residuals pre-multiplied
          by the inverse square-root factor of the estimated error
          correlation matrix) are used. Partial matching of arguments
          is used, so only the first character needs to be provided.
          Defaults to '"pearson"'.

     ...: some methods for this generic function require additional
          arguments.  None are used in this method.

_V_a_l_u_e:

     a vector with the residuals for the linear model represented by
     'object'.

_A_u_t_h_o_r(_s):

     Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates
     bates@stat.wisc.edu

_S_e_e _A_l_s_o:

     'gls'

_E_x_a_m_p_l_e_s:

     data(Ovary)
     fm1 <- gls(follicles ~ sin(2*pi*Time) + cos(2*pi*Time), Ovary,
                correlation = corAR1(form = ~ 1 | Mare))
     residuals(fm1)

